-
1
-
-
0034303643
-
Molecular profiling of human cancer
-
Liotta L, Petricoin E. Molecular profiling of human cancer. Nat Rev Genet. 2000;1:48-56.
-
(2000)
Nat Rev Genet
, vol.1
, pp. 48-56
-
-
Liotta, L.1
Petricoin, E.2
-
2
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530-6.
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
Van 'T Veer, L.J.1
Dai, H.2
Van De Vijver, M.J.3
He, Y.D.4
Hart, A.A.5
Mao, M.6
-
3
-
-
19944422061
-
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
-
Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004;351:2817-26.
-
(2004)
N Engl J Med
, vol.351
, pp. 2817-2826
-
-
Paik, S.1
Shak, S.2
Tang, G.3
Kim, C.4
Baker, J.5
Cronin, M.6
-
4
-
-
2942578063
-
A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen
-
Ma XJ, Wang Z, Ryan PD, Isakoff SJ, Barmettler A, Fuller A, et al. A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell. 2004;5:607-16.
-
(2004)
Cancer Cell
, vol.5
, pp. 607-616
-
-
Ma, X.J.1
Wang, Z.2
Ryan, P.D.3
Isakoff, S.J.4
Barmettler, A.5
Fuller, A.6
-
5
-
-
3042694117
-
Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression
-
Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, et al. Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression. Proc Natl Acad Sci U S A. 2004;101:9309-14.
-
(2004)
Proc Natl Acad Sci U S A
, vol.101
, pp. 9309-9314
-
-
Rhodes, D.R.1
Yu, J.2
Shanker, K.3
Deshpande, N.4
Varambally, R.5
Ghosh, D.6
-
6
-
-
20144386127
-
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival
-
Chang HY, Nuyten DS, Sneddon JB, Hastie T, Tibshirani R, Sorlie T, et al. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci U S A. 2005;102:3738-43.
-
(2005)
Proc Natl Acad Sci U S A
, vol.102
, pp. 3738-3743
-
-
Chang, H.Y.1
Nuyten, D.S.2
Sneddon, J.B.3
Hastie, T.4
Tibshirani, R.5
Sorlie, T.6
-
7
-
-
20444457518
-
Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer
-
Glinsky GV, Berezovska O, Glinskii AB. Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer. J Clin Invest. 2005;115:1503-21.
-
(2005)
J Clin Invest
, vol.115
, pp. 1503-1521
-
-
Glinsky, G.V.1
Berezovska, O.2
Glinskii, A.B.3
-
8
-
-
13844310310
-
Geneexpression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
-
Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, et al. Geneexpression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet. 2005;365:671-9.
-
(2005)
Lancet
, vol.365
, pp. 671-679
-
-
Wang, Y.1
Klijn, J.G.2
Zhang, Y.3
Sieuwerts, A.M.4
Look, M.P.5
Yang, F.6
-
9
-
-
26444546442
-
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
-
Miller LD, Smeds J, George J, Vega VB, Vergara L, Ploner A, et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci U S A. 2005;102:13550-5.
-
(2005)
Proc Natl Acad Sci U S A
, vol.102
, pp. 13550-13555
-
-
Miller, L.D.1
Smeds, J.2
George, J.3
Vega, V.B.4
Vergara, L.5
Ploner, A.6
-
10
-
-
33144462268
-
Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis
-
Sotiriou C, Wirapati P, Loi S, Harris A, Fox S, Smeds J, et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst. 2006;98:262-72.
-
(2006)
J Natl Cancer Inst
, vol.98
, pp. 262-272
-
-
Sotiriou, C.1
Wirapati, P.2
Loi, S.3
Harris, A.4
Fox, S.5
Smeds, J.6
-
11
-
-
33947424832
-
A consensus prognostic gene expression classifier for ER positive breast cancer
-
Teschendorff AE, Naderi A, Barbosa-Morais NL, Pinder SE, Ellis IO, Aparicio S, et al. A consensus prognostic gene expression classifier for ER positive breast cancer. Genome Biol. 2006;7:R101.
-
(2006)
Genome Biol
, vol.7
, pp. R101
-
-
Teschendorff, A.E.1
Naderi, A.2
Barbosa-Morais, N.L.3
Pinder, S.E.4
Ellis, I.O.5
Aparicio, S.6
-
12
-
-
33847348449
-
A gene-expression signature to predict survival in breast cancer across independent data sets
-
Naderi A, Teschendorff AE, Barbosa-Morais NL, Pinder SE, Green AR, Powe DG, et al. A gene-expression signature to predict survival in breast cancer across independent data sets. Oncogene. 2007;26:1507-16.
-
(2007)
Oncogene
, vol.26
, pp. 1507-1516
-
-
Naderi, A.1
Teschendorff, A.E.2
Barbosa-Morais, N.L.3
Pinder, S.E.4
Green, A.R.5
Powe, D.G.6
-
13
-
-
33846425793
-
The prognostic role of a gene signature from tumorigenic breast-cancer cells
-
Liu R, Wang X, Chen GY, Dalerba P, Gurney A, Hoey T, et al. The prognostic role of a gene signature from tumorigenic breast-cancer cells. N Engl J Med. 2007;356:217-26.
-
(2007)
N Engl J Med
, vol.356
, pp. 217-226
-
-
Liu, R.1
Wang, X.2
Chen, G.Y.3
Dalerba, P.4
Gurney, A.5
Hoey, T.6
-
14
-
-
52049095087
-
A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer
-
Ma XJ, Salunga R, Dahiya S, Wang W, Carney E, Durbecq V, et al. A five-gene molecular grade index and HOXB13:IL17BR are complementary prognostic factors in early stage breast cancer. Clin Cancer Res. 2008;14:2601-8.
-
(2008)
Clin Cancer Res
, vol.14
, pp. 2601-2608
-
-
Ma, X.J.1
Salunga, R.2
Dahiya, S.3
Wang, W.4
Carney, E.5
Durbecq, V.6
-
15
-
-
60849097255
-
Gene-expression signatures in breast cancer
-
Sotiriou C, Pusztai L. Gene-expression signatures in breast cancer. N Engl J Med. 2009;360:790-800.
-
(2009)
N Engl J Med
, vol.360
, pp. 790-800
-
-
Sotiriou, C.1
Pusztai, L.2
-
16
-
-
78649825336
-
Current and emerging biomarkers in breast cancer: Prognosis and prediction
-
Weigel MT, Dowsett M. Current and emerging biomarkers in breast cancer: prognosis and prediction. Endocr Relat Cancer. 2010;17:R245-62.
-
(2010)
Endocr Relat Cancer
, vol.17
, pp. R245-R2462
-
-
Weigel, M.T.1
Dowsett, M.2
-
17
-
-
62449131093
-
Supervised risk predictor of breast cancer based on intrinsic subtypes
-
Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, Vickery T, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27:1160-7.
-
(2009)
J Clin Oncol
, vol.27
, pp. 1160-1167
-
-
Parker, J.S.1
Mullins, M.2
Cheang, M.C.3
Leung, S.4
Voduc, D.5
Vickery, T.6
-
18
-
-
84901054428
-
Molecular profiling for breast cancer: A comprehensive review
-
Kittaneh M, Montero AJ, Gluck S. Molecular profiling for breast cancer: a comprehensive review. Biomarkers Cancer. 2013;5:61-70.
-
(2013)
Biomarkers Cancer
, vol.5
, pp. 61-70
-
-
Kittaneh, M.1
Montero, A.J.2
Gluck, S.3
-
19
-
-
79551710060
-
Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer
-
Iwamoto T, Bianchini G, Booser D, Qi Y, Coutant C, Shiang CY, et al. Gene pathways associated with prognosis and chemotherapy sensitivity in molecular subtypes of breast cancer. J Natl Cancer Inst. 2011;103:264-72.
-
(2011)
J Natl Cancer Inst
, vol.103
, pp. 264-272
-
-
Iwamoto, T.1
Bianchini, G.2
Booser, D.3
Qi, Y.4
Coutant, C.5
Shiang, C.Y.6
-
20
-
-
79952502399
-
Combining gene signatures improves prediction of breast cancer survival
-
Zhao X, Rodland EA, Sorlie T, Naume B, Langerod A, Frigessi A, et al. Combining gene signatures improves prediction of breast cancer survival. PLoS One. 2011;6:e17845.
-
(2011)
PLoS One
, vol.6
, pp. e17845
-
-
Zhao, X.1
Rodland, E.A.2
Sorlie, T.3
Naume, B.4
Langerod, A.5
Frigessi, A.6
-
21
-
-
27344435774
-
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
-
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102:15545-50.
-
(2005)
Proc Natl Acad Sci U S A
, vol.102
, pp. 15545-15550
-
-
Subramanian, A.1
Tamayo, P.2
Mootha, V.K.3
Mukherjee, S.4
Ebert, B.L.5
Gillette, M.A.6
-
22
-
-
79952284127
-
Hallmarks of cancer: The next generation
-
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646-74.
-
(2011)
Cell
, vol.144
, pp. 646-674
-
-
Hanahan, D.1
Weinberg, R.A.2
-
23
-
-
38049170632
-
Inferring activity changes of transcription factors by binding association with sorted expression profiles
-
Cheng C, Yan X, Sun F, Li LM. Inferring activity changes of transcription factors by binding association with sorted expression profiles. BMC Bioinformatics. 2007;8:452.
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 452
-
-
Cheng, C.1
Yan, X.2
Sun, F.3
Li, L.M.4
-
24
-
-
84880901715
-
REACTIN: Regulatory activity inference of transcription factors underlying human diseases with application to breast cancer
-
Zhu M, Liu CC, Cheng C. REACTIN: regulatory activity inference of transcription factors underlying human diseases with application to breast cancer. BMC Genomics. 2013;14:504.
-
(2013)
BMC Genomics
, vol.14
, pp. 504
-
-
Zhu, M.1
Liu, C.C.2
Cheng, C.3
-
25
-
-
84924276447
-
E2F4 regulatory program predicts patient survival prognosis in breast cancer
-
Khaleel SS, Andrews EH, Ung M, Direnzo J, Cheng C. E2F4 regulatory program predicts patient survival prognosis in breast cancer. Breast Cancer Res. 2014;16:486.
-
(2014)
Breast Cancer Res
, vol.16
, pp. 486
-
-
Khaleel, S.S.1
Andrews, E.H.2
Ung, M.3
Direnzo, J.4
Cheng, C.5
-
27
-
-
0037137519
-
A gene-expression signature as a predictor of survival in breast cancer
-
van de Vijver MJ, He YD, van't Veer LJ, Dai H, Hart AA, Voskuil DW, et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 2002;347:1999-2009.
-
(2002)
N Engl J Med
, vol.347
, pp. 1999-2009
-
-
Van De Vijver, M.J.1
He, Y.D.2
Van'T Veer, L.J.3
Dai, H.4
Hart, A.A.5
Voskuil, D.W.6
-
28
-
-
44849101184
-
The humoral immune system has a key prognostic impact in node-negative breast cancer
-
Schmidt M, Bohm D, von Torne C, Steiner E, Puhl A, Pilch H, et al. The humoral immune system has a key prognostic impact in node-negative breast cancer. Cancer Res. 2008;68:5405-13.
-
(2008)
Cancer Res
, vol.68
, pp. 5405-5413
-
-
Schmidt, M.1
Bohm, D.2
Von Torne, C.3
Steiner, E.4
Puhl, A.5
Pilch, H.6
-
29
-
-
34250652449
-
Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series
-
Desmedt C, Piette F, Loi S, Wang Y, Lallemand F, Haibe-Kains B, et al. Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series. Clin Cancer Res. 2007;13:3207-14.
-
(2007)
Clin Cancer Res
, vol.13
, pp. 3207-3214
-
-
Desmedt, C.1
Piette, F.2
Loi, S.3
Wang, Y.4
Lallemand, F.5
Haibe-Kains, B.6
-
30
-
-
61449172037
-
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
-
da Huang W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44-57.
-
(2009)
Nat Protoc
, vol.4
, pp. 44-57
-
-
Da Huang, W.1
Sherman, B.T.2
Lempicki, R.A.3
-
31
-
-
84887422588
-
Analysis and correction of crosstalk effects in pathway analysis
-
Donato M, Xu Z, Tomoiaga A, Granneman JG, Mackenzie RG, Bao R, et al. Analysis and correction of crosstalk effects in pathway analysis. Genome Res. 2013;23:1885-93.
-
(2013)
Genome Res
, vol.23
, pp. 1885-1893
-
-
Donato, M.1
Xu, Z.2
Tomoiaga, A.3
Granneman, J.G.4
Mackenzie, R.G.5
Bao, R.6
-
32
-
-
33645825183
-
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
-
Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A. 2006;103:5923-8.
-
(2006)
Proc Natl Acad Sci U S A
, vol.103
, pp. 5923-5928
-
-
Ein-Dor, L.1
Zuk, O.2
Domany, E.3
-
33
-
-
13444249852
-
Prediction of cancer outcome with microarrays: A multiple random validation strategy
-
Michiels S, Koscielny S, Hill C. Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet. 2005;365:488-92.
-
(2005)
Lancet
, vol.365
, pp. 488-492
-
-
Michiels, S.1
Koscielny, S.2
Hill, C.3
-
34
-
-
33748421080
-
Interleukin-1 alpha mediates the growth proliferative effects of transforming growth factor-beta in p21 null MCF-10A human mammary epithelial cells
-
Karakas B, Weeraratna A, Abukhdeir A, Blair BG, Konishi H, Arena S, et al. Interleukin-1 alpha mediates the growth proliferative effects of transforming growth factor-beta in p21 null MCF-10A human mammary epithelial cells. Oncogene. 2006;25:5561-9.
-
(2006)
Oncogene
, vol.25
, pp. 5561-5569
-
-
Karakas, B.1
Weeraratna, A.2
Abukhdeir, A.3
Blair, B.G.4
Konishi, H.5
Arena, S.6
-
35
-
-
35348891430
-
Network-based classification of breast cancer metastasis
-
Chuang HY, Lee E, Liu YT, Lee D, Ideker T. Network-based classification of breast cancer metastasis. Mol Syst Biol. 2007;3:140.
-
(2007)
Mol Syst Biol
, vol.3
, pp. 140
-
-
Chuang, H.Y.1
Lee, E.2
Liu, Y.T.3
Lee, D.4
Ideker, T.5
-
36
-
-
0034680102
-
Molecular portraits of human breast tumours
-
Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747-52.
-
(2000)
Nature
, vol.406
, pp. 747-752
-
-
Perou, C.M.1
Sorlie, T.2
Eisen, M.B.3
Van De Rijn, M.4
Jeffrey, S.S.5
Rees, C.A.6
|